Zobrazeno 1 - 10
of 105
pro vyhledávání: '"Supratak A"'
Autor:
Supratak, Akara, Haddawy, Peter
Deep learning models for scoring sleep stages based on single-channel EEG have been proposed as a promising method for remote sleep monitoring. However, applying these models to new datasets, particularly from wearable devices, raises two questions.
Externí odkaz:
http://arxiv.org/abs/2304.06033
Autor:
Supratak, Akara1 (AUTHOR), Haddawy, Peter1,2 (AUTHOR), Yin, Myat Su1 (AUTHOR) myatsu.yin@mahidol.ac.th, Ziemer, Tim2,3 (AUTHOR), Siritanakorn, Worameth1 (AUTHOR), Assawavinijkulchai, Kanpitcha1 (AUTHOR), Chiamsakul, Kanrawee1 (AUTHOR), Chantanalertvilai, Tharit1 (AUTHOR), Suchalermkul, Wish1 (AUTHOR), Sa-ngamuang, Chaitawat1,2 (AUTHOR), Sriwichai, Patchara4 (AUTHOR)
Publikováno v:
PLoS ONE. 10/30/2024, Vol. 19 Issue 10, p1-24. 24p.
Publikováno v:
In Knowledge-Based Systems 8 April 2024 289
Deep learning has enabled major advances in the fields of computer vision, natural language processing, and multimedia among many others. Developing a deep learning system is arduous and complex, as it involves constructing neural network architectur
Externí odkaz:
http://arxiv.org/abs/1707.08551
The present study proposes a deep learning model, named DeepSleepNet, for automatic sleep stage scoring based on raw single-channel EEG. Most of the existing methods rely on hand-engineered features which require prior knowledge of sleep analysis. On
Externí odkaz:
http://arxiv.org/abs/1703.04046
This paper proposes a practical approach to addressing limitations posed by use of single active electrodes in applications for sleep stage classification. Electroencephalography (EEG)-based characterizations of sleep stage progression contribute the
Externí odkaz:
http://arxiv.org/abs/1610.06421
Autor:
Dittapong Songsaeng, Poonsuta Nava-apisak, Jittsupa Wongsripuemtet, Siripra Kingchan, Phuriwat Angkoondittaphong, Phattaranan Phawaphutanon, Akara Supratak
Publikováno v:
Diagnostics, Vol 13, Iss 17, p 2840 (2023)
Diagnosing normal-pressure hydrocephalus (NPH) via non-contrast computed tomography (CT) brain scans is presently a formidable task due to the lack of universally agreed-upon standards for radiographic parameter measurement. A variety of radiological
Externí odkaz:
https://doaj.org/article/c9514f86a7934fbcae582eb49e79ff87
Autor:
Sajjacholapunt, Petch1 (AUTHOR), Supratak, Akara1 (AUTHOR), Tuarob, Suppawong1 (AUTHOR) suppawong.tua@mahidol.edu
Publikováno v:
Journal of Food Process Engineering. Nov2022, Vol. 45 Issue 11, p1-16. 16p.
Akademický článek
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Autor:
Myat Su Yin, Peter Haddawy, Tim Ziemer, Fabian Wetjen, Akara Supratak, Kanrawee Chiamsakul, Worameth Siritanakorn, Tharit Chantanalertvilai, Patchara Sriwichai, Chaitawat Sa-ngamuang
Publikováno v:
Multimedia Tools and Applications. 82:5189-5205
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::88fb8bcf34eaa988e645b58f5668c003
https://doi.org/10.1007/s11042-022-13367-0
https://doi.org/10.1007/s11042-022-13367-0